ArticleIndian journal of ophthalmology2021
The effect of smoking on ocular surface and tear film based on clinical examination and optical coherence tomography.
Article in Indian journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association of dry eye disease with smoking: A systematic review and meta-analysis.Indian journal of ophthalmology · 2022Pooled it
- Behavioral and cultural determinants of symptomatic dry eye disease among university students in the UAE.PloS one · 2026Article
- Investigation of anterior segment and pupillometry changes with Sirius corneal topography in chronic smokers.BMC ophthalmology · 2025Article
- Article
- Is a Dry Eye Disorder in Firefighters an Occupational Disease?La Medicina del lavoro · 2023Article
- Diurnal changes of noninvasive parameters of ocular surface in healthy subjects before and after continuous face mask wearing during the COVID-19 pandemic.Scientific reports · 2022Article
- Correlation between pterygium and dry eye: diagnostics and risk factors not considered.Arquivos brasileiros de oftalmologia · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSmoking is a global health problem with a high burden of smokers in India and the world as well. Smoking is a known eye irritant that may have a significant effect on the anterior ocular surface. Hence, the present study was aimed to investigate the effect of smoking on dry eye parameters, ocular surface, and central corneal thickness (CCT) and to compare the results with nonsmokers.
methodsIn this cross-sectional study, 40 (80 eyes) smokers and 40 (80 eyes) age-matched nonsmokers were included. The severity of ocular surface disease symptoms was assessed by the Ocular Surface Disease Index (OSDI) tool. All participants underwent a series of measurements, that is, the Schirmer's II test score and tear breakup time (TBUT). Tear meniscus height (TMH) and CCT were measured using anterior segment optical coherence tomography (OCT).
resultsThe mean value of all dry eye parameters was statistically different among the group of smokers and nonsmokers. The mean score of symptomatic assessment (OSDI) was observed to be significantly higher in smokers than in nonsmokers (P < 0.0001), and dry eye parameters, that is, Schirmer's score (P = 0.0127), TMH (P < 0.0001), and TBUT (P < 0.0001) were significantly lower among smokers than nonsmokers. There was no significant difference in CCT between smokers and nonsmokers (P = 0.06).
conclusionCigarette smoking has deteriorating effects on the ocular surface. Exposure to smoking was found to be associated with dryness of the eye. Further studies are needed on a molecular basis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.